Distributed Process Implementation

Distributed Process Implementation Prepared By:- Siva Josyula.

Overview: • Logical Model of Local and Remote Processes • Application Scenarios -Remote Service -Remote Execution -Process Migration • Mobile Agents • References

Logical Model of Local and Remote Systems.[3] Stub Processes serve as a logical link making the physical boundary between the local and remote processes transparent. Stub Processes at the server site have the capability of -interpreting the messages from the client stub. -invoking the respective operations. This is similar to the RPC model.

Application Scenarios[1,3] • Depending on how the request messages are interpreted, • there are three main application scenarios: • Remote Service - The message is interpreted as a request for a known service at the remote site. • Remote Execution • The messages contain a program to be executed at the remote site. • Process Migration - The messages represent a process being migrated to a remote site for continuing the execution.

Remote Services[3] • The primary application of remote services is RESOURCE SHARING in distributed systems. • A request message for a remote service can be generated at three different software levels. --Remote procedure calls at the language level. --Remote commands at the operating system level, like rcp in UNIX. --Interpretive messages at the application level, like FTP or get and put methods. • Constrained only to services supported at the remote host. • Primary implementation issues: I/O redirection and security

Remote Execution[3] • Message is sent from the client to the server. • A client program needs to be executed at the server side. • Results in the spawning of a new process at the server side. • Helps in reducing the load on the client side. • Significant difference between Remote Service and Remote Execution is: • Remote Service is a system with specific resources with resource sharing. • Remote Execution is a system with the purpose of load-sharing.

Continued… • Implementation Issues in Remote Execution are: • Load-Sharing Algorithm. • Location Independence. • System Heterogeneity. • Protection and Security.

Load-Sharing Algorithm • Each process server can maintain a list of registered hosts that are willing to honor remote execution. • The list of hosts participating are broadcasted. • The selection procedure is by a centralized broker process. • Once a remote host is selected- • The client process server indicates the resource requirements to the process server at the remote site. • If the client is authenticated and its resource requirements can be met, the server grants permission for remote execution. • The transfer of code image follows, and the server creates the remote process and the stub. • The client initializes the process forked at the remote site.

Location Independence • Process created by remote execution requires coordination to accomplish common task. • So it is necessary to support logical views for the processes. • Each remote process is represented by an agent process at the originating host. • It appears as though the process is running on a single machine.

System heterogeneity • If remote execution is invoked on the host , then it is necessary to re-compile the program. • Overhead Issue. • Solution: • Use canonical machine-independent intermediate language for program execution.

Protection and Security • It is safer to accept only remote execution in the source or intermediate codes. • Language used to describe a remote execution could be restricted to exclude potential problems. • Run-time checking of parameters and stack overflows is necessary to protect the integrity. • If intermediate code is used, then they must be verified that the code is a real source code.

Time Source Site Destination Site Process P1 : : : : Execution suspended Freezing time Transfer of control Execution Resumed : : : : Process P1 Process Migration[1,3]

Example for process migration[4] • Locus is a UNIX-compatible operating system that provides transparent access to remote resources, and enhanced reliability and availability. • It supports Process Migration. • Locus migration has a high level of functionality and transparency.

Example for process migration[4] • The Sprite network operating system was developed from 1984–1994. • Its process migration facility was transparent both to users and to applications, by making processes appear to execute on one host throughout their execution. • Processes could access remote resources, including files, devices, and network connections, from different locations over time. • When a user returned to a workstation onto which processes had been offloaded, the processes were immediately migrated back to their home machines and could execute there, migrate else-where, or suspend execution.

Process Migration[3] • A remote execution is to be preempted and moved to another host. • Remote execution remains at the same remote host until completion of the execution. • The target process for migration is preempted and its state information must be transferred. • State information has two parts: • Computation State. • Communication State.

Link Redirection Pre-transferring Total Freezing Source node Source node Destination node Destination node Migration decision Migration decision Suspended Transfer of address space Transfer of address space Freezing time Suspended Freezing time resumed resumed Merits: easy implementation Demerits: long delay time Merits: freezing time reduce Demerits: total time extended

Message Forwarding • Three types of messages: 1. Received when the process execution is stopped on the source node and has not restarted on the destination node 2. Received on the source node after the execution started on destination node 3. Sent to the migrant process after it started execution on destination node

Message Forwarding Origin Receiver Sender Resend Migrate Dest 1 Resend again Migrate again Dest 2 Origin Receiver Sender Send Send Migrate Dest 1 Forward Migrate again Dest 2 Ask origin site Resending messages Origin node keeps the info on the current location of the process created there, all messages are sent to origin which forwards them to migrant process Messages of type 1 and 2 are either dropped or negatively acknowledged, the sender is notified and it needs to locate the migrant process

Link Link Message Forwarding Origin Receiver Sender Messages are queued and sent to destination node as part of migration procedure Send Forward Send Migrate Link is left on source node to redirect messages, link contains the system-wide unique id of a process and its last known location Dest 1 Forward Migrate again Dest 2 Link Traversal

Message Forwarding Origin During the transfer the source node sends the notification (link update) of the transfer to all the nodes to which the process communicates: Receiver Sender Send New location Migrate Messages are forwarded by the source node Messages are sent directly to the destination node Send Dest 1 New location Migrate again Send Current location Dest 2 Link Update

MOBILE AGENTS[2] • Mobile Agent is a composition of computer software and data which is able to move from one computer to another computer autonomously and continue its execution on the destination computer. • It refers to a process that can transport its state from one environment to another, with its data intact • Mobile agents can decide when and where to move next • When a mobile agent decides to move, it saves its own state and transports this saved state to next host and resume execution from the saved state. • Common applications include: • Resource availability, discovery, monitoring • Information retrieval • Network management • Dynamic software deployment

Process migration vs. mobile agents

References • “Distributed operating system and algorithms” Randy Chow, Theodore Johnson • Mobile Agent- Wikipedia http://en.wikipedia.org/wiki/Mobile_agent • “Presentation on parallel and distributed computing” http://student.fiit.stuba.sk/~seidmann/dos/lecture6.pdf • Dejan S. Milojicic Fred DouglisYves Paindaveine Richard Wheeler Songnian Zhou, “Process Migration” , ACM Computing Surveys (CSUR) Volume 32 , Issue 3 (September 2000)

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Distributed Process Implementation